The Contribution of Organizational Learning and Green Human Resource Management Practices to the Circular Economy: A Relational Analysis -- Part I

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Autor/inn/en	Subramanian, Nagamani; Suresh, M.
Titel	The Contribution of Organizational Learning and Green Human Resource Management Practices to the Circular Economy: A Relational Analysis -- Part I
Quelle	In: Learning Organization, 29 (2022) 5, S.428-442 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0969-6474
DOI	10.1108/TLO-12-2021-0143
Schlagwörter	Models; Organizational Learning; Labor Force Development; Economic Factors; Manufacturing Industry; Sustainability; Conservation (Environment); Recruitment; Personnel Selection; Training; Performance; Rewards; Compensation (Remuneration); Employees; Empowerment; Discipline; Health; Safety; Foreign Countries; Small Businesses; India + Suchen Sie Ihr Suchwort? Analogiemodell; Organisationslernen; Arbeitskräftebestand; Ökonomischer Faktor; Fertigungswirtschaft; Produzierendes Gewerbe; Nachhaltigkeit; Conservation; Environment; Konservierung; Bewahung; Umwelt; Recruiting; Rekrutierung; Personalauswahl; Personalentscheidung; Ausbildung; Achievement; Leistung; Reward; Belohnung; Abfindung; Kompensation; Lohnausgleich; Employee; Arbeitnehmer; Beschäftigter; Disziplin; Gesundheit; Sicherheit; Ausland; Kleingewerbe; Indien
Abstract	Purpose: The goal of this research is to create a conceptual model that identifies the relationship between organizational learning and green human resource management practices and its contribution to the circular economy. The focus of this research is to identify the organizational learning and green human resource factors that lead to a more circular economic transformation. Design/methodology/approach: The importance of the interaction of factors benefiting both individuals and organizations has been comprehensively explained by combining two well-known theories: resource-based view theory and organizational learning theory. As learning entails change, a climate of organizational learning combined with green human resource practices will efficiently help firms transition to a circular economy. The authors establish a conceptual model in this study, which they then apply to the small- and medium-sized manufacturing industry and report on in the second paper. Findings: This study concentrates on the factors of organizational learning and green human resource management practices that help to create a circular economy after conducting a thorough literature analysis and consulting with experts. Research limitations/implications: The conceptual model can be applied to organizations in any industry. In the second part, the authors would investigate the interaction of the indicated factors and build their structural hierarchy using the total interpretive structural modelling method for the small- and medium-sized industries and then present the findings. Practical implications: The proposed framework might facilitate decision-makers, practitioners and academicians to comprehend the relationship between organizational learning and green human resource management factors and their influence on organizations' transition into a circular economy. The study's findings will help HR managers clarify the significant organizational learning and green human resource management factors that play a vital role in transitioning organizations into a circular economy. Originality/value: This research adds to our understanding of the intricate interactions between organizational learning and green human resource management as they relate to the circular economy. To the best of the authors' knowledge, the conceptual model illustrating the inter-relationship between organizational learning and green human resource management is the first of its type, and it is a novel notion because no previous research has looked into it. [For Part II, see EJ1354693.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01